This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
In this article, we present the algorithms and results of our participation in the medical image annotation and retrieval tasks of ImageCLEFmed 2006. We exploit both global featur...
Jing Liu, Yang Hu, Mingjing Li, Songde Ma, Wei-Yin...
In this paper we propose a novel method for demographic classification and present an image retrieval system that can retrieve facial images by demographic information that includ...
Similarity search leveraging distance-based index structures is increasingly being used for complex data types. It has been shown that for high dimensional uniform vectors with si...
Rui Mao, Wenguo Liu, Daniel P. Miranker, Qasim Iqb...
The success of the relevance feedback search paradigm in image retrieval is influenced by the selection strategy employed by the system to choose the images presented to the user ...